KEYNOTE SPEAKER

Compressive Sensing

Prof. Emmanuel Candès
Ronald and Maxine Linde Professor of Applied and Computational Mathematics
California Institute of Technology, USA

Abstract

Timeline

Tutorial Materials

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Background Knowledge Expected of the Participants

Biography of the Keynote Speaker

Dr. Emmanuel Candes received his B.Sc. degree from the Ecole Polytechnique (France) in 1993, and the Ph.D. degree in statistics from Stanford University in 1998. He is the Ronald and Maxine Linde Professor of Applied and Computational Mathematics at the California Institute of Technology. Prior to joining Caltech, he was an Assistant Professor of Statistics at Stanford University ('98-'00). His research interests are in computational harmonic analysis, multiscale analysis, approximation theory, statistical estimation, and detection, with applications to the imaging sciences, signal processing, scientific computing, and inverse problems. Other topics of interest include theoretical computer science, mathematical optimization, and information theory.
Dr. Candes received the Third Popov Prize in Approximation Theory in 2001, and the DOE Young Investigator Award in 2002. He was selected as an Alfred P. Sloan Research Fellow in 2001. He co-authored a paper that won the Best Paper Award of the European Association for Signal, Speech, and Image Processing (EURASIP) in 2003. He was selected as the main lecturer at the NSF-sponsored 29th Annual Spring Lecture Series in the Mathematical Sciences in 2004 and as the Aziz Lecturer in 2007. He has also given plenary addresses at major international conferences. In 2005, he was awarded the James H. Wilkinson Prize in Numerical Analysis and Scientific Computing by SIAM. Finally, he is the recipient of the 2006 Alan T. Waterman Medal awarded by the US National Science Foundation.

References

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